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Gabriel Recchia [3]Gabriel L. Recchia [1]
  1.  9
    The Idea of Liberty, 1600–1800: A Distributional Concept Analysis.Peter de Bolla, Ewan Jones, Paul Nulty, Gabriel Recchia & John Regan - 2020 - Journal of the History of Ideas 81 (3):381-406.
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  2.  24
    Distributional Concept Analysis.Peter de Bolla, Ewan Jones, Paul Nulty, Gabriel Recchia & John Regan - 2019 - Contributions to the History of Concepts 14 (1):66-92.
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  3.  23
    Graph‐Theoretic Properties of Networks Based on Word Association Norms: Implications for Models of Lexical Semantic Memory.Thomas M. Gruenenfelder, Gabriel Recchia, Tim Rubin & Michael N. Jones - 2016 - Cognitive Science 40 (6):1460-1495.
    We compared the ability of three different contextual models of lexical semantic memory and of a simple associative model to predict the properties of semantic networks derived from word association norms. None of the semantic models were able to accurately predict all of the network properties. All three contextual models over-predicted clustering in the norms, whereas the associative model under-predicted clustering. Only a hybrid model that assumed that some of the responses were based on a contextual model and others on (...)
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  4.  36
    Archaeology Through Computational Linguistics: Inscription Statistics Predict Excavation Sites of Indus Valley Artifacts.Gabriel L. Recchia & Max M. Louwerse - 2016 - Cognitive Science 40 (8):2065-2080.
    Computational techniques comparing co-occurrences of city names in texts allow the relative longitudes and latitudes of cities to be estimated algorithmically. However, these techniques have not been applied to estimate the provenance of artifacts with unknown origins. Here, we estimate the geographic origin of artifacts from the Indus Valley Civilization, applying methods commonly used in cognitive science to the Indus script. We show that these methods can accurately predict the relative locations of archeological sites on the basis of artifacts of (...)
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